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Network modeling and inference of peroxisome proliferator-activated receptor pathway in high fat diet-linked obesity.
Vundavilli, Haswanth; Tripathi, Lokesh P; Datta, Aniruddha; Mizuguchi, Kenji.
Affiliation
  • Vundavilli H; Department of Electrical and Computer Engineering & The Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX, USA; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutri
  • Tripathi LP; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki City, 567-0085 Osaka, Japan. Electronic address: lokesh@nibiohn.go.jp.
  • Datta A; Department of Electrical and Computer Engineering & The Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX, USA. Electronic address: datta@ece.tamu.edu.
  • Mizuguchi K; Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki City, 567-0085 Osaka, Japan; Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita-shi, Osaka 565-0871, Japan. Electronic
J Theor Biol ; 519: 110647, 2021 06 21.
Article in En | MEDLINE | ID: mdl-33640449
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peroxisome Proliferator-Activated Receptors / Diet, High-Fat Type of study: Etiology_studies / Prognostic_studies Limits: Animals Language: En Journal: J Theor Biol Year: 2021 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peroxisome Proliferator-Activated Receptors / Diet, High-Fat Type of study: Etiology_studies / Prognostic_studies Limits: Animals Language: En Journal: J Theor Biol Year: 2021 Type: Article